Preventing the Privacy Breach Using Perturbation

Privacy-preserving is an important issue in the areas of data mining and security. The aim of privacy preserving data mining is to develop algorithms to modify the original dataset so that the privacy of confidential information remains preserved and as such, no confidential information could be revealed as a result of applying data mining tasks. In existing system they introduced a new privacy preserving approach via data set complementation which confirms the utility of training data sets for decision tree learning.